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AuthenticID Launches AI Detection Tool to Combat Deep Fake Fraud

AuthenticID's 100% automated identity verification solution, driven by machine learning technology, aims to detect and decision injection attacks and deep fake attacks within milliseconds, without human bias or lag time.


AuthenticID, a prominent player in the identity verification and fraud prevention space, has launched a new solution designed to detect and mitigate deep fake and generative AI injection attacks targeting businesses. The move comes as organizations grapple with the growing sophistication of synthetic media fraud enabled by advances in AI technology.

“The widespread availability of inexpensive, easy-to-use tools allows bad actors to create highly convincing fake identity documents and biometrics,” said Alex Wong, VP of Product Management at AuthenticID. “Recent news stories have shown just how devastating these attacks can be to any organization. Our deep fake injection attack solution meets a critical need to determine the legitimacy of a user in this new era of technology.”

Deep fakes refer to artificially generated content such as documents, videos, or biometrics like facial or audio data, created using machine learning techniques like deep learning. Digital injection attacks occur when fraudsters “inject” these deep fakes into identity verification workflows to bypass traditional fraud detection methods.

AuthenticID’s solution employs three key methods powered by proprietary algorithms:

  • Visual Fraud Algorithms to detect counterfeit and synthetic elements in content
  • Text Fraud Algorithms to identify errors within false documents
  • Behavioral algorithms focusing on activity during the capture and submission of an ID

“We’ve observed fraudsters making fewer mistakes when they create fake documents,” noted Stephen Thwaits, AuthenticID’s SVP of Global Solutions. “Traditional identity verification methods can’t keep up with both the sophistication and ease at which bad actors can circumvent security measures with the use of new tools. That’s why continuous innovation is necessary to meet fraudsters at the front line.”

AuthenticID’s 100% automated identity verification solution, driven by machine learning technology, aims to detect and decision injection attacks and deep fake attacks within milliseconds, without human bias or lag time.

However, the company acknowledges that the solution is not a “silver bullet” against constantly evolving fraud tactics. AuthenticID’s Identity Fraud Taskforce is committed to continuous algorithm development and improvement of the identity verification decisioning engine to identify and stop new fraud vectors as they emerge.

As synthetic media fraud escalates, AuthenticID’s AI detection tool positions the company at the forefront of combating this pernicious threat while maintaining a seamless customer experience.

Picture of Mansi Singh
Mansi Singh
Mansi is an Associate Content Strategist. She holds interest that centers around use of Gen AI in enhancing daily lives and she is dedicated to exploring the latest trends and tools in AI. She can be reached at mansi.singh@aimresearch.co
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